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Extracting and Exploiting Inherent Sparsity for Efficient IoT Support in 5G: Challenges and Potential Solutions

机译:提取和利用内在稀疏性实现高效的物联网支持   5G:挑战和潜在解决方案

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摘要

Besides enabling an enhanced mobile broadband, next generation of mobilenetworks (5G) are envisioned for the support of massive connectivity ofheterogeneous Internet of Things (IoT)s. These IoTs are envisioned for a largenumber of use-cases including smart cities, environment monitoring, smartvehicles, etc. Unfortunately, most IoTs have very limited computing and storagecapabilities and need cloud services. Hence, connecting these devices through5G systems requires huge spectrum resources in addition to handling the massiveconnectivity and improved security. This article discusses the challengesfacing the support of IoTs through 5G systems. The focus is devoted todiscussing physical layer limitations in terms of spectrum resources and radioaccess channel connectivity. We show how sparsity can be exploited foraddressing these challenges especially in terms of enabling wideband spectrummanagement and handling the connectivity by exploiting device-to-devicecommunications and edge-cloud. Moreover, we identify major open problems andresearch directions that need to be explored towards enabling the support ofmassive heterogeneous IoTs through 5G systems.
机译:除了支持增强的移动宽带外,下一代移动网络(5G)还可用于支持异构物联网(IoT)的大规模连接。这些物联网被设想用于包括智能城市,环境监控,智能车辆等在内的大量用例。不幸的是,大多数物联网具有非常有限的计算和存储能力,并且需要云服务。因此,通过5G系统连接这些设备除了处理大规模连接性和提高安全性外,还需要巨大的频谱资源。本文讨论了通过5G系统支持物联网所面临的挑战。重点致力于讨论频谱资源和无线电接入信道连接方面的物理层限制。我们展示了如何利用稀疏性来应对这些挑战,特别是在通过利用设备间通信和边缘云来实现宽带频谱管理和处理连接性方面。此外,我们确定了主要的开放问题和研究方向,需要通过5G系统支持大规模异构物联网。

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